Databricks hosted this Online Tech Talk hosted by Denny Lee, Developer Advocate at Databricks, to see what data professionals can do to help the world beat the virus.
My name is Denny Lee and I’m a Developer Advocate at Databricks. But before this, I was a biostatistician working on HIV/AIDS research at the Fred Hutchinson Cancer Research Center and University of Washington Virology Lab in the Seattle-area. Watching my friends and colleagues working the front lines of this current pandemic has inspired me to see if we – as the data scientist community – can potentially help with “flattening the curve”. But before we dive into data science, remember – the most important thing you can do is wash your hands and social distancing! A great reference is How to Protect Yourself (https://www.cdc.gov/coronavirus/2019-ncov/prepare/prevention.html).
With the current concerns over SARS-Cov-2 and COVID-19, there are now available various COVID-19 datasets on Kaggle and GitHub as well as competitions such as the COVID-19 Open Research Dataset Challenge (CORD-19) (https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge#). Whether you are a student or a professional data scientist, we thought we could help out by providing a primer session with notebooks on how to start analyzing these datasets.